The purpose of this study was to evaluate the prophylactic effects of quercetin (QUE) against oxidative damages and histological changes induced by 1, 2, 3, 4-tetrachlorodibenzo-p-dioxin (TCDD) in rat heart. For this purpose, 20 adult male Wistar rats were divided into four groups as fellow control group, TCDD group (10?g/kg BW/day by gavage daily for 60 consecutive days), QUE group (30 mg/kg BW/day) and TCDD + QUEgroup. The oxidative biomarkers of heart tissue and the levels of cTnI and lipid profile in serum were measured. Our results showed that the cTnI serum level and the heart lipid peroxidation significantly increased and the heart level of antioxidant profile significantly decreased in the TCDD group compared to control and QUEgroups. While pretreatment with QUEcould significantly improved these factors in serum and heart tissue in animals that consumed TCDD. It can be concluded that QUEat doses of 30 mg/kg/day could alleviate heart oxidative damage and histological changes induced by TCDD.Bifidobacterium selectively colonizes the infants' intestinal tract, and the relevant coliform bacteria in adults are particularly beneficial because of their enhanced capability to prevent pathogens of gastro intestine by direct antimicrobial action and relieve infection, which led to their intensification, the antibacterial activities of titanium nanoparticles producing by some bacteria, makes them attractive as a new agent against pathogenic bacteria. In our present study, we used a probiotic bacteria Bifidobacterium bifidum which was isolated from the commercial market capsule to produce TiO2 nanoparticles and study the biologically characterized nanoparticle using various techniques like Scanning Electron Microscopic (SEM), atomic force microscopy (AFM), and study its antimicrobial activity against a bacteria isolated from the stool of patients suffering from acute diarrhea. The results showed that the morphological characteristics of nanoparticles were found to have a spherical shape and mean size of 81 nm by AFM while scanning electron microscope viewed as an oval shape with anatase form synthesized by B. bifidum. TiO2-NP synthesized by B. bifidum had an inhibitory effect against P. aeruginosa, A. baumanii, K. pneumonia at a concentration 16 mg/ml and 32 mg/ml towards E. coli and S. typhi, the minimum inhibitory concentration (MIC) against pathogenic bacteria isolated from acute diarrhea included Pseudomonas aeruginosa, Acinetobacter baumanii, Klebsiella pneumonia, E.coli and salmonella typhi was utilized to determine the antibacterial impact of the synthesized TIO2 nanoparticles. Our biologically synthesized titanium nanoparticles were effective against all the tested pathogenic bacteria at various degrees and had a probable role in significantly greater antimicrobial efficacy against all isolates under study. This trial may have considerable significance for the prevention of antibiotic resistance associated diarrhea in hospitals.In view of the shortcomings of the current abnormal data detection system of the protein gene library, such as low detection rate and high error detection rate, the abnormal data detection system of the protein gene library based on data mining technology is designed. The protein gene enters the firewall module of the system, and enters the immune module when it does not match the firewall rules; the memory detector in the immune module presents the protein gene, if the memory detector does not match the protein gene, the mature detector presents the protein gene, if the mature detector does not match the protein gene, it is determined as the normal protein gene data package, if it matches, it is considered that The abnormal data of protein gene was processed by the collaborative stimulation module, and the control module controlled by C8051F060 chip to detect the abnormal data of protein gene library. The immune module generates new protein gene sequences through an immature detector, simulates the immune mechanism of protein gene through a mature detector module, and simulates the secondary response in the abnormal data detection system of protein gene library through memory detector. The system introduces data mining technology into the detection and uses a two-level dynamic optimization algorithm to calculate the ASG similarity value of protein gene secondary structure arrangement. According to this value, the abnormal data detection of the protein gene library is realized by randomly generating protein genes, negative selection, clone selection and copying memory cells through gene expression. The experimental results show that the system can quickly detect abnormal data of the protein gene library, ensure the detection efficiency, and the detection accuracy reaches 97.1%. The system can reduce the error rate of normal protein gene detection as an abnormal protein gene.At present, bioinformatics research focuses on the development from the accumulation of biological data to the integration and processing of biological data. This paper designs a bio gene information collection system based on data mining technology. In the system, the information of gene web analysis database, data mining model database and gene chip database is transferred to gene algorithm tool library, which can extract, transform and load the biological gene information, transfer the collected and processed biological gene information to gene general chip and web database analysis logic, and pass it to gene expression spectrum chip/data mining module through API function GUI, through the data mining module GUI feedback to the system users. The system hardware stores the biochip information in the virtual chip set model through the gene expression spectrum data analysis model uses the gene expression similarity analysis model to analyze the expression similarity of the biological gene information, and stores the information in the gene chip database; through the multi-layer structure model, constructs the web genome biochip including the application layer, the data processing layer and the representation layer. The information analysis module analyzes the biological gene information and stores the information in the gene web analysis database. The system software adopts the method of automatic collection of biological gene data based on the web to realize the collection of biological gene information, and gives the main implementation technology of the system. https://www.selleckchem.com/products/terfenadine.html The experimental results show that the system can effectively collect biological gene information, and has high accuracy and anti-noise performance.